Description

NOTE:These data are for research purposes only. While the ClinGen data are
open to the public, users seeking information about a personal medical or
genetic condition are urged to consult with a qualified physician for
diagnosis and for answers to personal medical questions.

UCSC presents these data for use by qualified professionals, and even
such professionals should use caution in interpreting the significance of
information found here. No single data point should be taken at face
value and such data should always be used in conjunction with as much
corroborating data as possible. No treatment protocols should be
developed or patient advice given on the basis of these data without
careful consideration of all possible sources of information.

No attempt to identify individual patients should
be undertaken. No one is authorized to attempt to identify patients
by any means.

The Clinical Genome Resource (ClinGen)
is a National Institutes of Health (NIH)-funded program dedicated to building a genomic
knowledge base to improve patient care.
This will be accomplished by harnessing the data from both research efforts and clinical genetic
testing, and using it to propel expert and machine-driven curation activities.
By facilitating collaboration within the genomics community,
we will all better understand the relationship between genomic variation and human health.
ClinGen will work closely with the National
Center for Biotechnology Information (NCBI) of the National Library of Medicine (NLM),
which will distribute this information through its
ClinVar database.

The CNVs in this study have been reviewed for their clinical significance by
the submitting ClinGen laboratory. Some of the deletions and duplications in the track
have been reported as causative for a phenotype by the submitting clinical
laboratory; this information was based on current knowledge at the time of submission.
However, it should be noted that phenotype information is often vague and imprecise and
should be used with caution. While all samples were submitted because of a phenotype in
a patient, only 15% of patients had variants determined to be causal,
and most patients will have additional variants that are not causal.

CNVs are separated into subtracks and are labeled as:

Pathogenic

Uncertain: Likely Pathogenic

Uncertain

Uncertain: Likely Benign

Benign

The user should be aware that some of the data were submitted using a 3-class
system, with the two "Likely" categories omitted.

Two subtracks, "Path Gain" and "Path Loss", are aggregate tracks
showing graphically the accumulated level of gains and losses in the
Pathogenic subtrack across the genome. Similarly, "Benign Gain" and
"Benign Loss" show the accumulated level of gains and losses in the
Benign subtrack. These tracks are collectively called "Coverage"
tracks.

Many samples have multiple variants, not all of which are causative
of the phenotype. The CNVs in these samples have been decoupled, so it is not
possible to connect multiple imbalances as coming from a single patient.
It is therefore not possible to identify individuals via their genotype.

Methods and Color Convention

The samples were analyzed by arrays from patients referred for
cytogenetic testing due to clinical phenotypes. Samples were analyzed with a
probe spacing of 20-75 kb. The minimum CNV breakpoints are shown; if available,
the maximum CNV breakpoints are provided in the details page, but are not shown
graphically on the Browser image.

Data were submitted to
dbGaP at NCBI and thence decoupled as described into
dbVar for unrestricted release.

The entries are colored red for loss and
blue for gain. The names of items use the
ClinVar convention of appending "_inheritance" indicating the mechanism of
inheritance, if known: "_pat, _mat, _dnovo, _unk" as paternal, maternal,
de novo and unknown, respectively.

Verification

Most data were validated by the submitting laboratory using various methods,
including FISH, G-banded karyotype, MLPA and qPCR.

Credits

Thank you to ClinGen and NCBI for technical coordination and consultation, and to
the UCSC Genome Browser staff for engineering the track display.